Gender: Male 
Age: 25-34
Nationality: United Kingdom
Ethnicity: White / Caucasian 
Marital status: Single 
First language: English 
Religion: Nothing 
Education: High school or below
Mother's education: Graduate degree
Father's education: Undergraduate degree
Self-assessed socioeconomic status (1-10): 2
Home: Other (Please specify) Live with parents
Employment: Self-employed full time
Occupation: Technicians and associate professionals (those who apply scientific or artistic concepts and operational methods, e.g. secretaries, fitness workers, lab technicians)
Mother's occupation: Technicians and associate professionals (those who apply scientific or artistic concepts and operational methods, e.g. secretaries, fitness workers, lab technicians)
Father's occupation: Technicians and associate professionals (those who apply scientific or artistic concepts and operational methods, e.g. secretaries, fitness workers, lab technicians)
Hobbies: Exercise 
Devices used daily: Laptop;Smartphone;Tablet 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder) 
NLP tools they would find useful: Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants) 
Frequency of LLM use: Rarely
LLMs used: ChatGPT 
LLM use cases: Brainstorming 
Contexts of LLM use: Personal 
Prompt 1: Generate a Doctor Who story summary for me.
Prompt 2: Generate a Doctor Who story summary for me involving Peter Capaldi playing The Doctor.
Prompt 3: Give me a list of story ideas.
Prompt 4: Can you give me a list of Pokémon weaknesses and resistances?
Prompt 5: Is there any pattern in Pokémon weaknesses and resistances?
Prompt 6: What are some mnemonics to help remember Pokémon weaknesses and resistances?
Prompt 7: What are good names for a male and female lead character that tie them together?
Prompt 8: What will be Generation 10 Pokémon games be called?
Prompt 9: What's are some pairs of words that go together, like Sword and Shield or Sun and Moon?
Prompt 10: Can you summarize Naruto for me?
Comments: I don't particularly value them for serious work, since they can make mistakes pretty easily, but they can be useful for fun things.